{"id":"W4392599303","doi":"10.5772/intechopen.114219","title":"The Utilization of Prairie-Based Blend Pellet Products Combined with Newly Commercial Phytochemicals (Feed Additives) to Mitigate Ruminant Methane Emission and Improve Animal Performance","year":2024,"lang":"en","type":"book-chapter","venue":"Veterinary medicine and science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Brookhaven National Laboratory; Prairie Oat Growers Association; Saskatchewan Forage Network; Natural Sciences and Engineering Research Council of Canada; Saskatchewan Canola Development Commission; Ministry of Agriculture - Saskatchewan; Western Grains Research Foundation; U.S. Department of Energy","keywords":"Pellet; Ruminant; Methane; Methane emissions; Environmental science; Agronomy; Biology; Pasture; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002004413,0.0005352637,0.0005583182,0.001225801,0.0002104438,0.0006585339,0.0003583775,0.0004937603,0.001910123],"category_scores_gemma":[0.0001729717,0.0002040805,0.0006576486,0.000643605,0.0001746357,0.0009456479,0.0003982366,0.0007901351,0.0004777384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001786482,"about_ca_system_score_gemma":0.00028197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004296649,"about_ca_topic_score_gemma":0.001714666,"domain_scores_codex":[0.9998267,0.00002178147,0.00002102007,0.00004090503,0.0000651383,0.00002447812],"domain_scores_gemma":[0.9999254,0.00001387551,0.00002522126,0.000004745478,0.0000222766,0.000008490597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003790473,0.0003315214,0.001542149,0.02224971,0.0003739756,0.0009958141,0.0001385076,0.0008112103,0.6761895,0.002106699,0.001997827,0.2928841],"study_design_scores_gemma":[0.00009018629,0.003782818,0.01853421,0.003091775,0.001636353,0.003830601,0.0003862911,0.001361102,0.4696158,0.001510392,0.4960429,0.0001174433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2137497,0.7593042,0.01104288,0.0007094207,0.0005109346,0.0001636939,0.001065412,0.0001484094,0.01330543],"genre_scores_gemma":[0.4544265,0.5105191,0.02294877,0.0009503852,0.0001948971,0.0001276243,0.001098975,0.00006477618,0.009668962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001910123,"threshold_uncertainty_score":0.006389976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04856246386264779,"score_gpt":0.2762911373794061,"score_spread":0.2277286735167584,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}